Development Of Evaluation Model Research Articles

Research on High-Quality Development Evaluation and Regulation Model: A Case Study of the Yellow River Water Supply Area in Henan Province

Unbalanced and inadequate development has led to challenges such as resource shortage, ecological fragility, and economic backwardness in the water-receiving area of Henan Province, which has hindered the high-quality development of the region. This research aims to construct a high-quality development regulation model. The single-indicator quantification–multi-indicator synthesis–multicriteria integration (SMI-P) method was used to evaluate the level of regional development; using the method of embedded system dynamics, the regulation model was constructed and applied. The results show that (1) from 2011 to 2020, the degree of regional high-quality development showed an increasing trend, rising from a low level (0.34) to a medium level (0.57), an increase of one level, but the level of high-quality development still has a lot of room for improvement and faces great challenges; (2) the development of a resource–ecology–economy–social system was in a state of non-harmonious balance, and the proportion of contributions of each system was very different, but the system was developing towards a state of harmony and balance; (3) based on the constructed high-quality development regulation model, the key constraints affecting the high-quality development of the Yellow River water supply area in Henan Province are per capita water consumption, per capita energy consumption, carbon emissions per capita, GDP per capita, etc. The model constructed in this paper can improve the quality development level through the application of examples. The high-quality development degree of the study area was increased from 0.57 to 0.8.

Evaluation of smart city construction and optimization of city brand model under neural networks

The study aims to avoid the phenomenon that thousand cities seem the same in the construction of smart cities and the efforts of all walks of life are jointed to implement the construction of smart cities and the creation of city brands. First, the basic theory of smart city construction is introduced. Second, the restricting and promoting factors influencing smart city construction and development are analyzes, and the evaluation system of smart city development is established. Then, the model for smart city construction and development based on the neural network is implemented. Finally, some domestic cities are selected as the dataset to build a training model, and the city brand optimization strategy is proposed. On this basis, an evaluation system for smart city development based on the intelligent neural network and Grey relational analysis Back Propagation Neural Network (GRA-BPNN) is obtained. The entropy weight method (EWM), grey relational analysis (GRA) method and the evaluation method based on Technique for Order Preference by Similarity to an Ideal Solutionv (TOPSIS) are regarded as the members of the control group, and the results of different methods for evaluating the development of smart cities are compared. The results show that the modeling of smart city construction based on neural networks can help to implement an evaluation model for smart city construction and development, and it can help evaluate smart city construction and development accurately. And then the corresponding strategies are proposed to speed up the construction of smart cities with its local characteristics, and then city brands are built. Compared with other evaluation algorithms, the performance of the algorithm proposed is better and more stable and the evaluation results are more reasonable than those of the others, which can prove that the evaluation algorithm is feasible and scientific. This study provides a new idea for the application of deep learning to smart city construction and city brand building.

Retracted: Construction of Evaluation Model for Transformation and Development of Rural Areas in Energy‐Enriched Poverty‐Stricken Areas

Retracted: Construction of Evaluation Model for Transformation and Development of Rural Areas in Energy‐Enriched Poverty‐Stricken Areas

The evaluation model of the sustainable development of managers' competence

In recent years, due to the drastic changes in the economic environment, domestic companies have experienced many industrial changes. From the perspective of industrial evolution, the correspondence between organization and strategy not only has a time gap, but also full of uncertainty and dynamic decision-making process. To explore the ecological growth and decline of the industry, we can observe the interaction between manufacturers and the environment in the industry through the perspective of ethnic ecology. This research is mainly for the high-tech industry research, the research object is the middle-level director of the high-tech industry in Guizhou Province, the questionnaire is issued. A total of 360 questionnaires were sent out, and 252 valid questionnaires were collected, with a recovery rate of 70%. Research results: (1) Competency has a significant positive impact on organizational ecology. (2) Organizational ecology has a significant positive impact on sustainable development. (3) Competency has a significant positive impact on sustainable development. Based on the results, suggestions are proposed, and it is expected to explore the adaptation strategies that middle managers must adopt in order to achieve sustainable development as environmental conditions change.

Research and Analysis of the Synergy Degree of Regional Economy and Regional Labor Force Based on AHP-EWM Coupling Perspective

To measure the coordinated development level of regional economy and regional labor force, on the basis of the analysis of the regional economy and regional labor force development coordination effect, select 11 representative regional economic subsystem of order parameters and 9 representative regional labor force subsystem of order parameters. The weight is calculated by AHP-EWM coupling method to evaluate the level of coordinated development of regional economy and regional labor force. In this paper, the order parameter method of measuring system synergy degree is used to construct a synergy degree evaluation model of regional economy and regional labor force development, and the model is applied to measure the level of regional economy and regional labor force synergy development in Zhoushan city, an archipelago tourism city in China. The results indicate that the synergy degree of regional economy and regional labor force in Zhoushan city shows an M-shaped development trend of alternating increase and decrease, and the overall synergy degree is in a low level state.

Sustainable Development Path of Resource-Based Cities—Taking Datong as an Example

Sustainable development has become a global consensus, and cities are important spatial carriers to achieve sustainable development. There are more than 200 resource-based cities in China. These cities have a single industrial and energy structure. With the gradual depletion of urban resources, they are generally facing problems such as difficult industrial transformation, lagging development of alternative industries, and serious damage to the ecological environment. They are facing multiple challenges to achieve sustainable development. Our paper creatively uses the multiple interactive feedback relationships among the systems of “driving force–pressure–state–influence–response” in resource-based cities to establish a comprehensive evaluation model for the sustainable development of resource-based cities through the comprehensive evaluation index system of sustainable development. It is concluded that the higher the coordination degree of each subsystem in the model is, the stronger the sustainable development ability of the city is, which provides new ideas and suggestions for the sustainable development of resource-based cities. The case study shows that the coordinated dispatching C value tends to 2.216, indicating that the sustainable development evaluation values of each subsystem in the model tend to be close, and the coordination between subsystems is high. This confirms the rationality of establishing a comprehensive evaluation model for the sustainable development of resource-based cities.

Evaluation of digital economy development level based on multi-attribute decision theory.

The maturity and commercialization of emerging digital technologies represented by artificial intelligence, cloud computing, block chain and virtual reality are giving birth to a new and higher economic form, that is, digital economy. Digital economy is different from the traditional industrial economy. It is clean, efficient, green and recyclable. It represents and promotes the future direction of global economic development, especially in the context of the sudden COVID-19 pandemic as a continuing disaster. Therefore, it is essential to establish the comprehensive evaluation model of digital economy development scientifically and reasonably. In this paper, first on the basis of literature analysis, the relevant indicators of digital economy development are collected manually and then screened by the grey dynamic clustering and rough set reduction theory. The evaluation index system of digital economy development is constructed from four dimensions: digital innovation impetus support, digital infrastructure construction support, national economic environment and digital policy guarantee, digital integration and application. Next the subjective weight and objective weight are calculated by the group FAHP method, entropy method and improved CRITIC method, and the combined weight is integrated with the thought of maximum variance. The grey correlation analysis and improved VIKOR model are combined to systematically evaluate the digital economy development level of 31 provinces and cities in China from 2013 to 2019. The results of empirical analysis show that the overall development of China’s digital economy shows a trend of superposition and rise, and the development of digital economy in the four major economic zones is unbalanced. Finally, we put forward targeted opinions on the construction of China’s provincial digital economy.

Evaluation of High-quality Development of Shaanxi’s Economy Based on Digital Economy Based on Machine Learning Algorithm

With the strong development of industrial transformation, the digital economy, as the most dynamic, innovative, and widely radiated economic form at present, has become an important force driving the development of the global economy. Shaanxi Province has accelerated the development of the digital economy, and the development of the province’s digital economy has shown a good trend. However, the current digital economy development measurement is still unable to accurately observe the development law of the digital economy industry, which makes it difficult to measure the control standards for the digital economy industry. Therefore, this study has evaluated the development of digital economy in Shaanxi Province based on machine learning algorithms. This study first puts forward the dimensions of digital economy monitoring and evaluation and then combines the characteristics of digital economy development in Shaanxi Province to determine the quality evaluation indicators of digital economy development. Finally, according to the machine learning algorithm, a quality evaluation model of digital economy development was established, and through the evaluation results, suggestions were put forward for the development plan of digital economy in Shaanxi Province. The experimental results showed that, after re-planning the digital economy in Shaanxi Province according to the evaluation results, the development of the digital economy in Shaanxi Province has increased by 9.82%, indicating that the evaluation model plays a good reference role in the formulation of the digital economy development plan.

Scrutinizing Competitiveness of Construction Companies Based on an Integrated Multi-Criteria Decision Making Model

The construction sector continues to experience significant challenges brought by new techniques and technologies. Hence, there is a dire need for construction companies to address critical issues concerning changing environmental conditions, construction innovations, market globalization and many other aspects, thereby enhancing their competitive edge. Thus, the primary goal for this research is to develop a multi-criteria decision making model that would consider and evaluate all essential factors in determining the competitiveness index of construction companies. In the developed model, three new pillars (3P) for competitiveness are introduced: (1) non-financial internal pillar; (2) non-financial external pillar; and (3) financial pillar. The 3P includes 6 categories and 26 factors that are defined and incorporated in the developed assessment model for the purpose of measuring the companies’ competitiveness. The weights for the identified factors are computed using fuzzy analytical network process (FANP) to diminish the uncertainty inherited within the judgment of the respondents. The weight of factors and their affiliated performance scores are used as an input for the preference ranking organization method for enrichment evaluation (PROMETHEE II) technique. In this regard, PROMETHEE II is undertaken as a ranking technique to prioritize any given construction company by determining its respective competitiveness index. The developed model is validated through five cases studies that reveal its potential of illustrating detailed analysis with respect to the competitive ability of construction companies. A sensitivity analysis is carried out to determine the most influential factors that affect the competitiveness of construction companies. It is anticipated that the developed evaluation model can be used in the decision-making process by all parties involved in construction projects. For instance, contractors can leverage the evaluation model in taking better decisions pertinent to the markup values. In addition, it can benefit employers in the evaluation process of contractors.

Development, Verification, and Validation of an Advanced Systems Code KP-SAM for Kairos Power Fluoride Salt–Cooled High-Temperature Reactor (KP-FHR)

To meet the Kairos Power (KP) Fluoride Salt-Cooled High-Temperature Reactor (FHR) (KP-FHR) development and commercialization schedules, the System Analysis Module (SAM), which is an advanced systems code for Generation IV liquid-cooled reactors developed at Argonne National Laboratory (ANL), has been selected as the basis for the development of the KP-FHR systems code KP-SAM. This allows for an accelerated joint development effort between the KP and ANL teams. This paper presents a general overview of the KP-SAM development process, its current status, completed verification, and ongoing validation efforts. KP-SAM development follows the U.S. Nuclear Regulatory Commission Evaluation Model Development and Assessment Process framework. SAM is a high-order fully implicit transient systems code written in C++. The SAM software design, major physical models, and Jacobian Free Newton Krylov–based numerical methods are briefly discussed. KP-SAM has matured enough to be used for the unvalidated demonstration safety analysis for the low-power KP-FHR test reactor (Hermes) as part of Preliminary Safety Analysis Report work. By following the guidance of an internal KP-FHR thermal fluid Phenomena Identification and Ranking Table report, some of the most important separate-effects-test validations were completed for the first iteration. A scaled integral-effects test is under detailed design and will be built in 2022 to provide key data to validate KP-SAM for licensing safety analysis.

Economic Development Model and Effective Path of Green Industry

Abstract Major crises such as greenhouse effect and resource depletion remind people that environmental protection is imminent. However, the economic growth is always accompanied by the destruction of the environment, so the development of green industry economy is very necessary for the balance between the two. However, many of today’s green industry economic development is still in the theoretical stage, and there are no substantive measures. Therefore, this paper aims to build a reasonable development evaluation model for the green industry economy, and use the results of the model to explore the sustainable development of the green industry economy. In view of this, in the stage of proposing the model, this paper refers to a large number of literature and field investigation, and selects 30 suitable evaluation indexes. The experimental results of the green industrial economy in Sichuan Province with the designed model show that the comprehensive evaluation index of green economic development has increased steadily. It reached 0.8255 in 2016, which is in line with the actual situation. This shows that the model in this paper has a good fitting effect, and can provide guidance for the economic development model and effective path of green industry.

ЩОДО ОЦІНЮВАННЯ ЕКОНОМІЧНОГО ЕФЕКТУ ПРОТИДІЇ РАДІОЕЛЕКТРОННИМ ЗАВАДАМ ПРОТИВНИКА У ПОВІТРЯНОМУ БОЮ МЕТОДОМ ВІДВЕРНЕНОГО ЗБИТКУ

The Russian-Ukrainian war once again showed the importance of using aviation in a war, which can decisively influence the final result of military operations as a whole. The effective use of aviation determines the final result of a military confrontation by 60-70%, but aviation without means of electronic countermeasures and protection today has a rather low survivability, which contributes to the active development of individual electronic interference stations. The authors propose a mathematical model for describing the processes of functioning of airborne weapon control radar stations in conditions of interference and simultaneous active counteraction to enemy jamming stations in order to avoid early full-scale modeling of these processes, since full-scale models have a significant cost. The article also defines a system of indicators and criteria that characterize the effectiveness of the functioning of airborne weapons control radar stations when using known methods of actively counteracting enemy electronic interference in air combat, which, as a result of the uncertainty of the air situation, use the features of fuzzy set theory. The authors carried out a military-economic assessment of the use of methods of actively counteracting enemy radio-electronic interference stations, as well as using the method of prevented damage, the need to use the developed model for early evaluation of the effectiveness of the use of new methods of counteraction or their integrated application was assessed. The model will make it possible to justify the description of the functioning of airborne weapon control radar stations under conditions of interference and simultaneous active counteraction to them, and will also allow evaluating the economic effect of the use of new methods. Keywords: airborne radar stations, military-economic feasibility, mathematical modeling, probability of destruction, interference, active interference stations for personal protection, fuzzy estimates.

A Realistic and Integrated Model for Evaluating Offshore Oil Development

With the rising consumption of oil resources, major oil companies around the world have increasingly engaged in offshore oil exploration and development, and offshore oil resources have accounted for an increasing proportion. Offshore oil engineering projects are capital intensive, and the development of offshore oil fields faces a tough battle, especially in a period of low oil prices. Thus, a comprehensive evaluation model is highly needed to help assess economic benefits and provide meaningful and valuable information for operators and investors to make sensible decisions. This study firstly proposed a realistic and integrated evaluation model for offshore oil development based on actual historical project data. This evaluation model incorporated modules from the underwater system to the platform system and processes from oil reservoir extraction to oil, gas and water treatment. The uncertain parameters in the evaluation process are dealt with by sensitivity analysis and Monte Carlo simulation. The proposed model is applied to a typical offshore oil development project in Bohai Bay, China. The results reveal that the recovery factor and oil price have the greatest impact on the economic benefits. In the case of deterministic analysis, the breakeven oil price of the project is 40.59 USD/bbl. After considering the uncertainty of project parameters, the higher the oil price, the greater the probability of NPV > 0. When the oil price is higher than 70 USD/bbl, even with uncertain project parameters, the probability of NPV > 0 can still be as high as 97.39%.

Research on Sustainable Development of Competitive Sports in China Based on PSR and DEA Model

From the 2008 Beijing Olympic Games to the 2022 Beijing Winter Olympics, the sustainable development of competitive sports has become more and more popular in China. Therefore, for the sustainable development of China's competitive sports, first, the logical relationship of “pressure-state-response” is adopted to select the index system, covering the elements of the economy, society, policy, and so on. Principal component analysis and entropy weight method are used to construct the comprehensive evaluation model of the sustainable development of competitive sports. Second, through the coupling coordination method to study the coordinated development of China's competitive sports and economic society, and then from the perspective of the obstacle factor diagnosis method to determine the obstacles to the sustainable development of China's competitive sports system. Finally, the DEA model is used to predict the development level of competitive sports in China's provinces in the next 10–20 years. The research shows that the overall development level of competitive sports in China is good, but there are certain differences among different regions. Meanwhile, from the forecast results, the development level of competitive sports in Hainan, Shanxi, Anhui, Jiangxi, Inner Mongolia, Gansu, and Ningxia may be greatly improved in the future. Based on the above research conclusions, this study puts forward some suggestions to give full play to the joint and synergistic development effect among different regions, reasonably draw lessons from the advanced experience of competitive sports development at home and abroad, and scientifically construct the comprehensive development system of competitive sports. At the same time, the research of this study provides some reference value for the sustainable development of China's competitive sports and the coordinated development of China's competitive sports and economic society.

A three-dimensional evaluation model for green development: evidence from Chinese provinces along the belt and road.

The establishment of the green belt and road is an inevitable choice to conform to and lead the green and low-carbon cycle development and an inherent requirement for sustainable development. Therefore, we establish an evaluation system of green development oriented to carbon neutrality, and calculate the green development level (GDL) of the provinces along the belt and road in China from 2003 to 2018 by using a three-dimensional evaluation model. In addition, this paper employs the Obstacle Degree Model to identify the main obstacle factors that affect GDL, and provides targeted and differentiated countermeasures and suggestions for improving the regional GDL. Our results suggested that the overall GDL has improved, but not obvious, with a low level. The GDL and coordination degree between different regions exist certain differences, and its spatial pattern is characterized by “high in southeast and northeast, low in southwest and northwest”. From a regional perspective, innovation capacity is the key factor that affects the green development of the region in southeast, northeast, northwest and southwest China. Driving economic green transformation and promoting industrial energy conservation and emission reduction through technological innovation are the internal driving forces to achieve regional green sustainable development.

Research on the Relationship between Beijing-Tianjin-Hebei Airport Group and Regional Coordinated Development

The mutual development of airport groups and regions is gradually going global with the economic globalization. There is a contradiction between Beijing-Tianjin-Hebei (Jing-Jin-Ji) Airport Group and regional development, which leads to the unbalanced development of aviation enterprises in the region. Therefore, it is of major theoretical and practical significance to analyze the coordinated development relationship between Jing-Jin-Ji Airport Group and the region. This paper selects representative index system, establishes the adaptability evaluation model of airport group and regional development, and quantitatively analyzes the adaptability level of Jing-Jin-Ji Airport Group and radiation area. Taking New York Airport Group as a reference, the synergy degree between Jing-Jin-Ji Airport Group and the region is evaluated by the synergy evaluation model. Analyze the reasons for the development of New York Airport Group, and put forward the measures for the coordinated development of Jing-Jin-Ji Airport Group and the region in the future. The results show that the synergy index (SD) of Jing-Jin-Ji Airport Group is 0.5381, which is lower than that of New York Airport Group (0.7507), and Jing-Jin-Ji Airport Group is barely synergetic. It is necessary to optimize airspace, allocate flight resources, speed up the development of airport economy, and optimize the structure of airport groups. Jing-Jin-Ji Airport Group will be accelerated to enter a high-quality collaborative stage from the aspects of system and resource integration and government leadership.

Evaluation of the Sustainable Development of the Social-Economic-Natural Compound Ecosystem in the Guangdong-Hong Kong-Macao Greater Bay Area Urban Agglomeration (China): Based on Complex Network Analysis

In the Guangdong-Hong Kong-Macao Greater Bay Area (GBA), a series of natural environmental, economic, and social issues have emerged sequentially in the process of rapid economic and social development. Therefore, for the sustainable development of the GBA, how to closely integrate nature protection with economic and social development to improve the sustainable development level of the social-economic-natural compound ecosystem, and realize the coordinated development of the system is particularly important. Based on the perspective of complex network and the theory of compound ecosystem, this study proposes a set of sustainable development evaluation model based on complex network modeling to evaluate the sustainable development level of compound ecosystem in GBA from 2014 to 2018, and further analyze the coupling coordination degree. The major findings include: 1) For the sustainable development in the GBA, the development of the natural subsystem is an important foundation, and the synchronous development of the social and economic subsystems are the main driving force. 2) The sustainable development level in the GBA shows an overall steady upward trend; the average level of the compound ecosystem’s coupling coordination development is in a “good” state, and it shows an evident upward trend. 3) Whether it is within the GBA or the GBA and its surrounding regions, there are problems of unbalanced and insufficient regional development. Policy recommendations include increasing the emphasis on the sustainable development of the natural subsystem, promoting the coordinated development of the economic, social, and natural subsystems, and promoting the balanced development of cities within the GBA, as well as the GBA and surrounding regions.

Research on the model of children's health assessment based on behavioral characteristics

Early childhood education is the cornerstone of children's education, and traditional preschool education methods have been unable to meet parents' expectations. The concept of smart kindergarten came into being. The traditional evaluation method can no longer adapt to the development of kindergarten. Therefore, it is very important to design a more scientific and reasonable infant health assessment model. Taking a kindergarten as the background, we have established a behavioral characteristic-based children's health assessment model to create a smart kindergarten. By optimizing traditional evaluation methods and combining innovative evaluation methods, a child health development evaluation model based on AHP-BPNN and a health evaluation model based on machine learning are proposed. Finally, the infant protection experts gave a comprehensive analysis of the weight gain. The assessment mode adopted by this kindergarten now reduces the pressure on the caregivers. This evaluation model has strong applicability and can be promoted in other kindergartens.

Analysis of the Impact of Big Data Era on Accounting

In recent years, modern technology has developed faster and faster, and the era of "big data" has emerged under this trend. it's a very significant test for accounting to accept big data. When we have been seeing this phenomenon, I got the conclusion that is the efficiency of accounting work will soon be improved with it. The paper will analysis the evaluation model of development, which is based on Shanghai. Then pay attention to the graduate employment rate of Shanghai Lixin Financial and Accounting Institute. There is no denying that the data of Shanghai Bureau of Statistics is a great supporting material for researching, constructs the model with simple econometric methods, and studies big data. The possible impact of the times on accounting, thus derived thinking about related problems, and discussed the corresponding solutions.

Evaluation and Analysis of High-Quality Development of New Urbanization Based on Intelligent Computing

Urbanization construction is an important part of China’s economic development. New urbanization is a new development direction proposed by China in order to adapt to social development. China’s urbanization construction must be changed. The construction of new urbanization is not only committed to expanding the scale of cities and towns but also promotes the industrial upgrading of cities and towns and improves the efficiency of urban production to meet the needs of economic growth. Under China’s high-quality economic development model, various problems of ecological environment pollution and low productivity have emerged. New urbanization has become an effective strategy to promote high-quality economic development. The research results of this paper show that (1) the level of coordinated development among urbanization systems is low, and the population agglomeration and industrial economic development, urban land resource utilization, urban public welfare development, and urban ecological environment development are not coordinated during the process of population urbanization, it is necessary to strengthen the development capacity of the economy, space, society, and green urbanization, and only the coordinated development of various systems can promote the high-quality development of urbanization. (2) From 2006 to 2017, the urbanization development coefficient of the five northwestern provinces and regions has increased year by year, and the high-quality development level of urbanization has gradually increased. Except for the urbanization system development coefficient of urbanization from 2016 to 2017, which was higher than 0.3 and was in a relatively imbalanced stage, the coefficients of the other provinces were all lower than 0.2 in each year, which was in a highly imbalanced stage. (3) The loss value of the intelligent computing development evaluation model proposed in the article is the lowest among the detection models. When the number of iterations is 20, the final loss value of the article is 0.1. With the increase in the number of iterations, the accuracy rate is basically in a stable growth state, when the number of iterations is 20, and the accuracy rate reaches a peak value of 99%, which is close to 100%. The experimental results can also show that the performance of the intelligent computing development evaluation model structure is better than the evaluation of high-quality urbanization development.